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Entry Level Big Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Key job responsibilities - Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence. - Build feature engineering workflows ...

Key job responsibilities - Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence. - Build feature engineering workflows ...

AI/ML Engineer Location: Irving, TX(Onsite) Job Type: Full Time Job Title: Data Engineer -ML We are ... Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP. Solid ...

Cloud Data Platform Engineer

Irving, TX · On-site

$51.75 - $69.25/hr

... big data concepts • Experience implementing monitoring, logging, and alerting solutions using ... Azure DevOps Engineer Expert (AZ-400) Company : eTeam is a staffing agency that also provides ...

Data Engineer Junior

San Antonio, TX · On-site

$98K - $118K/yr

The engineer collaborates with analysts, data scientists, and security teams to deliver reliable ... Familiarity with big data ecosystems such as Hadoop or Spark, including experience tuning jobs or ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... Have a customer-centric attitude Big plus, if you have... * A Bachelor's in Computer Information ...

Description Join our Infrastructure Systems Engineering team within the Fleet Operations Engineering organization, where we design, build, and operate the large-scale Linux systems that power ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... Big plus, if you have... * A Bachelor's in Computer Information Systems or similar field * 2+ years ...

Description Join our Infrastructure Systems Engineering team within the Fleet Operations Engineering organization, where we design, build, and operate the large-scale Linux systems that power ...

ML Engineer

Irving, TX · On-site

$125K - $140K/yr

Data Engineer -ML We are looking for a highly skilled and passionate Data Engineer with strong ... Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP. Solid ...

Sr. Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Since data engineers are responsible for their pipelines at Over-haul, this role requires engineers ... You are familiar with big data technologies like Spark and comfortable working with web-scale ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Since data engineers are responsible for their pipelines at Over-haul, this role requires engineers ... You are familiar with big data technologies like Spark and comfortable working with web-scale ...

New

Data Engineer I

Farmers Branch, TX

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

New

Showing results 41-60

Entry Level Big Data Engineer information

See Texas salary details

$14

$58

$82

How much do entry level big data engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level big data engineer in Texas is $58.68, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.06 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level big data engineer?

To thrive as an Entry Level Big Data Engineer, you should have a solid understanding of programming languages like Python or Java, basic knowledge of data processing frameworks such as Hadoop or Spark, and a relevant degree in computer science, data engineering, or a similar field. Familiarity with data storage technologies, cloud platforms (AWS, Azure, or Google Cloud), and introductory-level certifications in these tools are commonly expected. Strong analytical thinking, problem-solving skills, and effective communication are valuable soft skills for this position. These capabilities are crucial for efficiently handling large datasets, collaborating with technical teams, and delivering reliable data solutions in a fast-paced environment.

What are some typical projects or tasks an entry level big data engineer might work on?

As an Entry Level Big Data Engineer, you can expect to assist in building data pipelines, cleaning and transforming raw data, and supporting the integration of data from multiple sources. You may collaborate with data scientists and senior engineers to help maintain or optimize data storage systems and ensure data quality. Your daily tasks could include writing simple scripts, monitoring data flows, and troubleshooting issues under the guidance of more experienced team members. This role offers a great opportunity to learn from hands-on projects while developing a deep understanding of big data systems and engineering best practices.

What is an entry level big data engineer?

An Entry Level Big Data Engineer is responsible for designing, building, and maintaining data pipelines that process large volumes of structured and unstructured data. They work with big data technologies like Hadoop, Spark, and cloud-based solutions to support data storage, transformation, and analysis. Their role often involves writing ETL (Extract, Transform, Load) scripts, optimizing data workflows, and ensuring data quality. They collaborate with data scientists, analysts, and software engineers to enable scalable data solutions. This position requires knowledge of programming languages like Python, Java, or Scala and familiarity with SQL and distributed computing concepts.

What are the most commonly searched types of Big Data Engineer jobs in Texas? The most popular types of Big Data Engineer jobs in Texas are:
What are popular job titles related to Entry Level Big Data Engineer jobs in Texas? For Entry Level Big Data Engineer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Entry Level Big Data Engineer jobs? Cities in Texas with the most Entry Level Big Data Engineer job openings:
Infographic showing various Entry Level Big Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,047 per year, or $58.7 per hour.

Data Engineer II, OTS - Data ANCHOR Team

Amazon

Austin, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact - creating intelligence that directly influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus.
As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon's global fulfillment and maintenance networks

You will design and implement ETL/ELT pipelines, build feature engineering workflows, and collaborate with Solution Architects, Data Engineers, Applied Scientists, and BIEs to deliver data products that drive measurable business outcomes. You will contribute to Data Ops and AI intelligent data practices - including data versioning, pipeline monitoring, and model retraining data support - and help establish engineering best practices within the team. This role directly enables the team's mission to implement GenAI solutions for automated reporting, diagnostics, and predictive and prescriptive analytics across worldwide operations.
This is a high-impact individual contributor role with significant opportunity to grow technical scope and organizational influence at the intersection of data engineering, Data Science, and AI.
Key job responsibilities
- Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
- Build feature engineering workflows and ML-ready data pipelines that support Data Science experimentation and production model serving.
- Contribute to data governance and quality standards across analytical and ML data products.
- Support implementation of GenAI solutions for automated reporting, diagnostic, predictive, and prescriptive analytics.
- Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.
- Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
- Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children

Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you.
At Amazon, we value people with unique backgrounds, experiences, and skillsets.

If you're passionate about this role and want to make an impact on a global scale, please apply!


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US